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T5Gemma

A collection of open encoder-decoder models that improve deep contextual comprehension in Gemma

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T5Gemma 2, based on Gemma 3, generally yields better post-training performance on coding, reasoning, and multilingual tasks than its decoder-only counterparts

T5Gemma 2 - Post-training Reasoning and FactualityT5Gemma 2 - Post-training Reasoning and Factuality

Results of minimal supervised fine-tuning without reinforcement learning. For illustrative purposes only.

T5Gemma 2 - Post-training Long ContextT5Gemma 2 - Post-training Long Context

Results of minimal supervised fine-tuning without reinforcement learning. For illustrative purposes only.

T5Gemma 2 - Post-training STEM and CodeT5Gemma 2 - Post-training STEM and Code

Results of minimal supervised fine-tuning without reinforcement learning. For illustrative purposes only.

T5Gemma 2 - Post-training MultilingualT5Gemma 2 - Post-training Multilingual
T5Gemma 2 - Post-training MultimodalT5Gemma 2 - Post-training Multimodal

Results of minimal supervised fine-tuning without reinforcement learning. For illustrative purposes only.

Superior quality-to-efficiency ratio without extensive compute requirements

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